DOE SMART Mobility: Systems and Modeling for Accelerated Research in Transportation

  • Reuben Sarkar
  • Jacob WardEmail author
Part of the Lecture Notes in Mobility book series (LNMOB)


New paradigms emerging in transportation and information and communication technology create opportunities to better understand and leverage the interactions between travelers, vehicles, and the built environment to reduce greenhouse gas emissions and save energy. The U.S. Department of Energy’s SMART (Systems and Modeling for Accelerated Research in Transportation) Mobility Initiative recognizes and harnesses these megatrends by elevating DOE’s traditional transportation energy focus beyond the vehicle component technology level to transportation-as-a-system analysis, modeling and simulation, and applied research and development in 5 interrelated topics: connected and automated vehicles, mobility decision science, urban science, vehicles and infrastructure, and multi-modal.


Connectivity Automation Transportation Vehicles Mobility Energy Emissions Decision science Urban science Multi-modal Infrastructure 



This chapter benefits from the expertise and input of the following National Laboratory personnel, many of whom comprise DOE’s SMART Mobility Consortium: Kev Adjemian, Idaho National Laboratory; Alexandre Bayen, Lawrence Berkeley National Laboratory; Chris Gearhart, National Energy Renewable Laboratory; Anand Gopal, Lawrence Berkeley National Laboratory; Ron Graves, Oak Ridge National Laboratory; Keith Kahl, Oak Ridge National Laboratory; Eric Rask, Argonne National Laboratory; Aymeric Rousseau, Argonne National Laboratory; Ann Schlenker, Argonne National Laboratory; Alex Schroeder, National Energy Renewable Laboratory; John Smart, Idaho National Laboratory; and Stan Young, National Energy Renewable Laboratory.


  1. 1.
    National Laboratory Connected and Automated Vehicle Subgroup (2014) CAVs Energy Impact, presented to the U.S. DOE Transportation Working Group, 17 Dec 2014Google Scholar
  2. 2.
    World Bank (2010) Cities and Climate Change: An Urgent AgendaGoogle Scholar
  3. 3.
    Intergovernmental Panel on Climate Change (IPCC) (2014) Summary for policymakers. In: Climate change 2014, mitigation of climate change. Contribution of working group iii to the fifth assessment report of the intergovernmental panel on climate changeGoogle Scholar
  4. 4.
    Lammert MP, Duran A, Diez J, Burton K, Nicholson A (2014) Effects of platooning on fuel consumption of class 8 vehicles over a range of speeds, following distances, and mass, SAE 2014-01-2438Google Scholar
  5. 5.
    U.S. Department of Transportation (2014) AERIS Eco-traffic signal timing applications webinar, 29 Jan 2014Google Scholar
  6. 6.
    Singer M. (2015) Consumer views on transportation and advanced vehicle technologies. NREL Technical Report TP-5400-64840Google Scholar
  7. 7.
    Schrank D, Eisele B, Lomax T (2010) TTI’s 2012 urban mobility report, Texas A&M Transportation InstituteGoogle Scholar
  8. 8.
    Calthorpe P (2010) Urbanism in the age of climate changeGoogle Scholar
  9. 9.
    Wood E, Burton E, Neubauer J (2015) Measuring the benefits of public chargers and improving infrastructure deployments using advanced simulation tools, National Renewable Energy LaboratoryGoogle Scholar
  10. 10.
    U.S. Energy Information Administration (2014) Annual energy outlookGoogle Scholar
  11. 11.
    Brown A, Vimmerstedt L (2013) freight transportation demand: energy-efficient scenarios for a low-carbon future. In: Transportation energy futures, national renewable energy laboratoryGoogle Scholar
  12. 12.
    Davis S, Diegel S, Boundy R (2014) Transportation energy data book, 33rd edn. Oak Ridge National LaboratoryGoogle Scholar
  13. 13.
    U.S. Department of Transportation (2014) The smart/connected city and its implications for connected transportation, U.S. DOT, FHWA-JPO-14-148Google Scholar
  14. 14.
    Dulac J (2013) Global transport outlook to 2050, At mobility: technology priorities and strategic urban planning workshop in Espoo, Finland, May 22–23, International Energy AgencyGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.U.S. Department of EnergyWashington, D.C.USA

Personalised recommendations